Python Basics for Data Science MOOC

This beginner-friendly MOOC, IBM: Python Basics for Data Science, designed by IBM will quickly take participants from zero to programming in Python in just a few hours. By completing this course participants will be able to to write their own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment, starting working with data in Python

Details and programme of the course

Participants in this course are expected to learn how to get started with Python as a programming language and work with data in Python. Upon completion, learners will be able to write their own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment. 

Participants will also have the opportunity to create their own data science projects and collaborate with other data scientists using IBM Watson Studio. 

Course modules

Module 1: Python Basics

• Your first program
• Types
• Expressions and Variables
• String Operations

Module 2: Python Data Structures

• Lists and Tuples
• Sets
• Dictionaries

Module 3: Python Programming Fundamentals

• Conditions and Branching
• Loops
• Functions
• Objects and Classes

Module 4: Working with Data in Python

• Reading files with open
• Writing files with open
• Loading data with Pandas
• Working with and Saving data with Pandas

Module 5: Working with Numpy Arrays

• Numpy 1d Arrays
• Numpy 2d Arrays